Unlike most other organizations participating at the Google summer of code, I feel that ML4SCI is unique in both its methods and objectives. While most organizations look for developers to build up their code repositories, resolve bugs and update new features, the primary objective of ML4SCI is to solve open-ended research questions in basic sciences by developing/using free and open source software by using Machine Learning. This year the kind of projects ranged from deep learning in gravitational physics, astronomy, quantum machine learning, machine learning to fluid turbulence, novel quantum materials etc.
Project Code Repository
I have compiled my work into a single open-source repository. Titled, “Decoding Quantum States with NMR”, we have a set of tutorials to read, preprocess and extract features from the NMR simulation data. We also describe how to train a random forest classification/regression model and then analyze the feature importance to interpret the underlying features in the time-series.
Why ML4SCI ?
As a Physics major, I believe that my background, and interests in the fields of condensed matter physics, quantum mechanics, and artificial intelligence complement well with the philosophies and interests of the ML4SCI group and especially with the NMR-GSoC research project. I have previously worked on the application of deep learning in the field of basic sciences and believe that Python is the juggernaut in open-source software for science, engineering. Lastly, as an advocate for free and open-source software, it is always an absolute honor to build tools for open science and society.
Spin Echo in NMR (Some Physics)
This section is for the esoteric and can be ignored on a first reading.
Magnetic resonance occurs in quantum systems when a magnetic dipole is exposed to two external magnetic fields: (1) A static magnetic field with (2) An oscillating electromagnetic field. The oscillating field can then make the dipole transit between its energy states with a certain probability and when the frequency of the oscillating field leads to the maximum possible transition probability between any two energy states, magnetic resonance is said to have been achieved. In Nuclear Magnetic resonance, we use this fundamental phenomenon to measure various properties of the desired material. 
A common technique used to probe molecular properties in NMR is called the “Spin Echo”. The nuclear spins are aligned, let loose, and then…
Continue reading: https://towardsdatascience.com/gsoc-2021-with-ml4sci-the-nmr-project-1a5e8995af9?source=rss—-7f60cf5620c9—4